A5069201267- Forest Insect Ecology and Management
- Species Distribution and Climate Change
- Insect and Arachnid Ecology and Behavior
- Catalytic Processes in Materials Science
- Electrocatalysts for Energy Conversion
- EEG and Brain-Computer Interfaces
- Physiological and biochemical adaptations
- Sleep and Work-Related Fatigue
- Insect Utilization and Effects
- Insect and Pesticide Research
- Color perception and design
- Lepidoptera: Biology and Taxonomy
- Sleep and Wakefulness Research
- Insect behavior and control techniques
- Electrochemical Analysis and Applications
- Amphibian and Reptile Biology
- Conducting polymers and applications
- Non-Invasive Vital Sign Monitoring
- Ecology and Vegetation Dynamics Studies
- Technology Adoption and User Behaviour
- Electrochemical sensors and biosensors
- Emotion and Mood Recognition
- Advanced Technologies in Various Fields
- Advanced Memory and Neural Computing
- COVID-19 and Mental Health
National Taiwan University
2011-2025
University of Chicago
2021-2025
National Taipei University of Nursing and Health Science
2023-2024
Biodiversity Research Center, Academia Sinica
2020-2023
National Taiwan University of Science and Technology
2015
Monarch butterflies in North America migrate south each autumn, but the mechanisms that initiate their migratory flight remain incompletely understood. We investigated environmental, developmental, and genetic factors contribute to directional by testing summer autumn-generation monarchs three simulators: two at ground level (with without wind blockage) a novel balloon-based system raised 30 meters into air. Monarchs reared under autumn-like conditions growth chamber during were also tested...
We present a nonintrusive surrogate model to emulate time-dependent flow problems. Our approach enhances spatial mode decomposition using proper orthogonal (POD) spectral via POD (SPOD), along with mapping of the spectrum in each case onto common domain. This alignment enables collapse fundamental frequencies different cases into single frequency. To new flowfield, we apply kriging method predict SPOD coefficients for target case, followed by flowfield reconstruction inverse Fourier...
We have prepared Aun/Pt nanosponges that are highly electroactive for the oxidation of MeOH, from Pt and AuCl4− ions through galvanic reactions at ambient temperature pressure. At concentrations 0, 0.1, 0.3, 0.5, 1.0, 2.0 mM a constant content nanosponges, we obtained having values n 0.2, 0.8, respectively. The average size Au nanoparticles deposited on surfaces increased upon increasing concentration (at nanosponge content). used UV–Vis absorption spectroscopy, energy dispersive X-ray...
Abstract Understanding how phenotypic traits vary among populations inhabiting different environments is critical for predicting a species’ vulnerability to climate change. Yet, little known about the key functional that determine distribution of and main mechanisms—phenotypic plasticity vs. local adaptation—underlying intraspecific trait variation. Using Asian burying beetle Nicrophorus nepalensis , we demonstrate mountain ranges differing in elevation latitude offer unique thermal which...
Deforestation is a major contributor to biodiversity loss, yet the impact of forest loss on daily microclimate variability and its implications for species with different activity patterns remain poorly understood. Using recently developed model, we investigated effects deforestation temperature range (DTR) in low-elevation tropical regions high-elevation temperate regions. Our results show that substantially increases DTR these areas, suggesting potential interactions. To test this...
Understanding how climate-mediated biotic interactions shape thermal niche width is critical in an era of global change. Yet, most previous work on niches has ignored detailed mechanistic information about the relationship between temperature and organismal performance, which can be described by a performance curve. Here, we develop model that predicts curves will narrower presence interspecific competitors, causing species’ optimal breeding to diverge from its competitor. We test this...
Te/Pt nanonetwork-decorated carbon fiber microelectrodes (CFMEs) have been fabricated and employed as anodic catalysts in a direct methanol fuel cell (DMFC). Te nanowires were prepared from tellurite ions (TeO32−) through seed-mediated growth process deposited onto CFMEs to form three-dimensional nanonetworks. The nanonetworks then acted framework reducing agent reduce PtCl62− galvanic replacement reaction, leading the formation of Te/PtCFMEs. By controlling reaction time, amount Pt...
The environment has a great impact on the quality of learning, among which light most direct impact. Some studies have demonstrated that changes in lighting can affect students' learning performance and emotions. This study aimed to examine correlated color temperature (CCT) subjects' emotions conditions. We used TGAM module measure Alpha, Theta, Delta brainwaves. CCT as controlling factor then estimated relationship between individuals' conditions with values 1000 K 7000 K, respectively....
Insomnia is the most common sleep disorder and etiology for a series of health problems. Researchers indicated that environmental factors negatively influence sleep, including noise indoor light intensity. To explore relationship between these low-cost Internet Things (IoT) systems were developed monitoring data related to quality. In this study, we created an IoT system based on Electroencephalography (EEG) signals The suggested detects environment variables during such as color...
Driver fatigue and drunk driving are the leading causes of car accidents. To reduce accidents, researchers suggest using Internet Things (IoT) technology to detect in-vehicle air quality alcohol-impaired effects that lead drunk. Consequently, in this study, we developed an IoT driver system based on a ThinkGear ASIC Module (TGAM) for capturing driver's electroencephalogram (EEG) signals. Additionally, deployed SGP30 carbon dioxide $\left(\mathrm{CO}_{2}\right)$ PMS5003 measure PM10...
Abstract Understanding how climate-mediated biotic interactions shape thermal niche width is critical in an era of global change. Yet, most previous work on niches has ignored detailed mechanistic information about the relationship between temperature and organismal performance, which can be described by a performance curve. Here, we develop model that predicts curves will narrower presence interspecific competitors, causing species’ optimal breeding to diverge from competitor. We test this...